Practical Data Statistical Analysis and SPSS 12.0 Application

Author: Qiu Shi Technology Press
Publisher:
Publish Date: 2006-02-01
Features: SPSS is one of the best and most widely used statistical tools in the world. This book is based on the new version SPSS 12.0 and provides an in-depth yet accessible introduction to SPSS through case studies. It highlights the integration of statistical methods, case analysis, and SPSS operations, detailing the steps for performing common statistical methods in SPSS, interpreting output results, and concisely yet clearly explaining the basic principles and functions of statistical methods. It also emphasizes the key points of analysis operations, enabling readers to not only understand what but also why.
Chapter 1 introduces the features and functions of SPSS 12.0, its interface, system installation, and parameter settings. Chapter 2 covers data input, editing, and preprocessing in SPSS. Chapters 3–11 introduce various statistical methods in SPSS, including descriptive statistics, mean comparison, analysis of variance (ANOVA), correlation analysis, regression analysis, cluster analysis, discriminant analysis, factor analysis, principal component analysis, and non-parametric tests. The final chapter, Chapter 12, discusses data visualization in SPSS.
This book can serve as both a reference tool and user manual for teachers and researchers engaged in data statistics, as well as a learning textbook and guide for undergraduate and graduate students in universities and colleges.